At a Glance
- Tasks: Design and build data pipelines using Azure technologies while troubleshooting and improving existing systems.
- Company: A dynamic data solutions consultancy with a focus on innovation and client impact.
- Benefits: Flexible freelance role with exposure to diverse industries and technical challenges.
- Other info: Opportunity for continuous learning and professional growth in a collaborative environment.
- Why this job: Join a team that values curiosity and adaptability while making a real difference in data solutions.
- Qualifications: Experience with Azure Data Factory, Databricks, Python, and SQL is essential.
The predicted salary is between 50000 - 70000 £ per year.
About Us
We are a growing data solutions consultancy helping clients design, build, and operate modern cloud data platforms. Our work spans multiple industries and environments, giving engineers exposure to a wide variety of technical challenges and business problems. We value adaptability, curiosity, and strong communication just as much as technical capability. Our team works closely with clients to deliver practical, reliable data solutions that make an impact.
The Role
We’re looking for a Freelance Azure Data Engineer to support both ongoing client operations and new project delivery. You’ll work across multiple client platforms, helping troubleshoot and improve existing systems while also designing and building new data solutions from the ground up.
What You’ll Be Doing
- Design, build, and maintain data pipelines using Azure Data Factory and Azure Databricks
- Write Python and SQL for ingestion, transformation, and automation workflows
- Developing scalable and maintainable data models
- Troubleshoot pipeline failures, performance issues, and data quality problems
- Translate client requirements into documented technical solutions
- Work across multiple client environments and adapt quickly to different architectures and ways of working
- Contribute to documentation, internal knowledge sharing, and continuous improvement
Azure Data Engineer (Freelance) employer: Consultancy
As a dynamic data solutions consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our engineers to tackle diverse technical challenges across various industries. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on impactful projects, all while enjoying the flexibility of freelance work. Join us in a role that not only values your technical skills but also encourages adaptability and strong communication, making every day a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer (Freelance)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for freelance opportunities. You never know who might have a lead or can refer you to someone looking for an Azure Data Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Azure Data Factory and Databricks. This will give potential clients a taste of what you can do and help you stand out from the crowd.
✨Tip Number 3
Stay adaptable! Since you'll be working across multiple client platforms, brush up on your ability to quickly learn new systems and architectures. Highlight this adaptability in conversations with potential clients to show you're ready for any challenge.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. By applying directly, you’ll get noticed faster and can showcase your enthusiasm for joining our team at StudySmarter.
We think you need these skills to ace Azure Data Engineer (Freelance)
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your experience with Azure Data Factory, Azure Databricks, Python, and SQL in your application. We want to see how you've used these tools to solve real-world problems, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for us. Mention specific projects or experiences that relate to the role of Azure Data Engineer. This shows us you’re genuinely interested and have done your homework!
Communicate Clearly:Strong communication is key for us. When writing your application, be clear and concise. Explain your thought process and how you approach problem-solving. We love seeing how you articulate your ideas!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Consultancy
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Factory and Azure Databricks skills. Be ready to discuss specific projects where you've designed and built data pipelines, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've troubleshot pipeline failures or performance issues in the past. Highlight your approach to diagnosing problems and the steps you took to ensure data quality, as this will demonstrate your adaptability and technical capability.
✨Communicate Clearly and Effectively
Since strong communication is key for this role, practice explaining complex technical concepts in simple terms. Think about how you would translate client requirements into technical solutions and be ready to share your thought process during the interview.
✨Be Ready to Adapt
Given that you'll be working across multiple client environments, show your flexibility by discussing experiences where you've had to quickly adapt to different architectures or ways of working. This will highlight your curiosity and ability to thrive in diverse settings.
